• Korean Journal of Construction Engineering and Management
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• v.7 no.1 s.29
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• pp.159-167
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• 2006

Better utilization of the knowledge of employees in any organization has long been accepted as a vital component of a corporation's competitiveness. This has been considered even more important in the construction industry due to the dynamic and intermittent nature of construction projects. With the rapid advance of network technologies during the last decade, construction companies quickly shifted their focus of knowledge management to interactive online repositories. However, the efforts of leveraging organizational knowledge has remained fragmented in the construction industry until recent years. In addition, companies have begun to realize that actual returns on this investment in network technologies would be far less than initial expectations if online efforts do not incorporate companies' general offline knowledge management efforts, which are done without the use of computer network. Thus, this paper focused on assessment of implementing current Lessons-Learned Systems at the large construction companies in Korea to provide the foundation for developing a renovated conceptual Lessons-Learned System model.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.26 no.2
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• pp.172-184
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• 2017

Nanotechnology is a leading branch of technology and is expected to improve national industrial competitiveness. For maintaining a sustainable growth in nanotechnology, Korean government has set up specific plans from a long-term perspective. One of these plans is tracking and promoting certain potential technologies called Future 30 Nanotechnologies. This study aims to develop an analysis framework for comprehending the Future 30 Nanotechnologies. We applied this framework to the carbon nanomaterials field. Through co-authorship and keyword network analysis, we identified the research trends of three countries (i.e., Korea, US, and China.). This research framework could be utilized in the development of a nanotechnology policy.

• Journal of Technology Innovation
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• v.20 no.3
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• pp.1-28
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• 2012

This study conducted a qualitative analysis on the Korea's nuclear energy sector in 2030 through scenario-based strategic foresight method. Specifically, the relationships between environmental influencing factors of the future nuclear energy sector was examined from a multi-dimensional perspective on the basis of STEEP analysis and network analysis. In addition, scenario planning method was used with key uncertainty factors (KUF) to create three predictable strategic scenarios including optimistic, business as usual, and pessimistic. Common strategies that need to be urgently pursued as well as the maximum risk avoidance strategies for each scenario were also presented. This study further identified energy pricing, global economic trend, competitiveness in nuclear technology, and marketing capability as key uncertainty factors in the future nuclear energy industry sector. In order to furnish effective export strategy in the future nuclear energy sector, it was also suggested that government policy should adopt following measures as top priorities: securing nuclear safety technology, educating nuclear engineers, securing nuclear resources such as uranium, increasing nuclear capability and so on. The implications and limitations of this study were then discussed based on research findings.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.313-318
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• 2016

Recently, the smart farm development using a PC and smart phone to manag the farm for improving competitiveness is in progress. In the smart farm, by using the various ICT technology including RFID, Wi-Fi, ZigBee, Wireless LAN, and etc., the growing environment of the crop and animals can be managed with the remote. By using the network including not only the TCP/IP based wired network but also ZigBee, Wireless LAN, and etc., each of the devices installed in the smart farm transmits the growing environment data to the server. So, smart farms have information and network security vulnerability. Therefore, we propose the method that analyzes the security vulnerability which can begenerated in the smart farm and user authentication method.

• Journal of Information Technology and Architecture
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• v.10 no.4
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• pp.479-496
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• 2013

Today, a corporate and the government is making significant investments in informatization in order to enhance competitiveness however, question on the outcome of information-oriented investment has continuously been posed and in order to resolve such problems, the technique of Enterprise Architecture (EA) Despite such fact, in the case of the central administrative institute, even if the EA maturity standard has continuously improved through continuous investment when compared to the past without deviation between institutes, the establishment of EA and the work utilization of EA compared to the management competence still is analyzed to be relatively weak. This study completed the preliminary feasibility study in 2012 for Korea Customs Service which has been appointed as the representative institute that best utilizes EA in the field of information operation and evaluation field in the 2010 EA Maturity Evaluation and it can become a case study that can contribute to more continuous development and improvement of other public institute EA by introducing the performance of EA-based 4th Korean National Customs Information Network which has entered into total reconstruction in 2013 and by identifying the implications of EA performance arising from such.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.6B
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• pp.710-719
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• 2011

Shipping companies have become interested in the development of strategic ship assets management systems which are implemented for high competitiveness and business rationalization to meet the tough business environment of high oil prices and decrease in cargo. In this paper we introduce a ship assets management system that is suitable for the SAN(Ship Area Network) environment. This system is designed to execute business strategy of ship owners giving consideration to requirements of shipping stakeholders. In addition we have implemented it in a web-based ERP system (SHERP) which separates user interface and business logic. The SHERP is based on STEP and PLIB, which are international standards for data exchange of mechanical devices and parts. It also adopts a ship ontology to manage the ship information and knowledge during its life-cycle. The SHERP will be a concrete example of servitization of shipbuilding, as an information system which is used in ships and ship groups.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.7
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• pp.2963-2968
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• 2011

Plastic injection products have been widely used in various electronic appliances and high-tech commodities. However, plastic injection product manufacturers have to spare no efforts to shorten new product development period to introduce new products into the market ahead of other competitors, gaining competitiveness and satisfying customers. The manufacturers cannot only get big target market share rapidly but also the advantage of leading the product price in order to survive in highly competitive market. This paper proposes the cost estimation approach of feature-based plastic injection products by using hybrid artificial neural network and genetic algorithm. The proposed method is to dramatically simplify and shorten the complex conventional cost estimation procedures and the requested computation parameters of plastic injection products. The case study demonstrates the efficiency and effectiveness of the proposed model in solving the cost estimation problem of plastic injection products at the development stage.

• Fashion & Textile Research Journal
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• v.23 no.6
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• pp.799-809
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• 2021

This study aimed to grasp the perceptions and trends in fashion platforms and fashion smart factories using big data analysis. As a research method, big data analysis, fashion platform, and smart factory were identified through literature and prior studies, and text mining analysis and network analysis were performed after collecting text from the web environment between April 2019 and April 2021. After data purification with Textom, the words of fashion platform (1,0591 pieces) and fashion smart factory (9750 pieces) were used for analysis. Key words were derived, the frequency of appearance was calculated, and the results were visualized in word cloud and N-gram. The top 70 words by frequency of appearance were used to generate a matrix, structural equivalence analysis was performed, and the results were displayed using network visualization and dendrograms. The collected data revealed that smart factory had high social issues, but consumer interest and academic research were insufficient, and the amount and frequency of related words on the fashion platform were both high. As a result of structural equalization analysis, it was found that fashion platforms with strong connectivity between clusters are creating new competitiveness with service platforms that add sharing, manufacturing, and curation functions, and fashion smart factories can expect future value to grow together, according to digital technology innovation and platforms. This study can serve as a foundation for future research topics related to fashion platforms and smart factories.

• Korea Trade Review
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• v.45 no.5
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• pp.239-260
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• 2020

This research was conducted on 176 GVCs-related research papers listed in the Index of Korean Academic Writers. The analysis methodology used the keyword network analysis methodology of big data analysis. For the comprehensive analysis of research trends, the research trends through word frequency (TF), important topic (TF-IDF), and topical modeling were analyzed in 176 papers. In addition, the research period of GVCs was divided into the early stages of the first study (2003-2014), the second phase of the study (2015-2017), and the third phase of the study (2018-2020). According to the comprehensive analysis, the GVCs research was conducted with the keyword 'value added' as the center, focusing on the keywords of export (trade), Korea, business, influence, and production. Major research topics were 'supporting corporate cooperation and capacity building' and 'comparative advantage with added value of overseas direct investment'. According to the analysis of major period-specific research trends, GVCs were studied in the early stages of the first phase of the study with global value chain trends and corporate production strategies. In the second research propulsion period, research was done in terms of trade value added. In the recent third phase of the study, small and medium-sized enterprises actively participated in the global value chain and actively researched ways to support the government. Through this study, the importance of the global value chain has been confirmed quantitatively and qualitatively, and it is recognized as an important factor to be considered in the strategy of enhancing industrial competitiveness and entering overseas markets. In particular, small and medium-sized companies' participation in the global value chain and support measures are being presented as important research topics in the future.

• Journal of the Korean Society for Railway
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• v.19 no.3
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• pp.363-372
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• 2016

This study identifies influence factors for Korean railway export and analyzes the importance and competitiveness of the factors. This study also suggests policy directions for each factor and analyzes the current situation of the Korean railway industry. All influence factors identified in this study turned out to have high levels of importance. Influence factors with higher importance levels for each field are as follows: man-power/experience and skill/technology in the engineering field; price, information and man-power/experience in the construction field; and information, technology, and price in the manufacturing field. However, the level of competitiveness of the factors turned out to be low. This study also suggested policy directions for each influence factor: overall, they turned out to have high levels of importance. Policy directions with high importance for each field are as follows: strengthening overseas' human network, training/educating experts for overseas projects, and accumulating experiences through Official Development Assistance projects in the fields of engineering and construction; and cost reduction and strategical cooperation with foreign companies in the manufacturing field. However, interviewees' satisfaction levels for each policy area turned out to be low. Finally, policy measures for Korean railway export for each influence factor were suggested.